4 papers · 1 filter
IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction
Yingke Wang, Hao Li, Yifeng Zhu +6
Robotic reproduction of oil paintings using soft brushes and pigments requires force-sensitive control of deformable tools, prediction of brushstroke effects, and multi-step stroke…
EmboAlign: Aligning Video Generation with Compositional Constraints for Zero-Shot Manipulation
Gehao Zhang, Zhenyang Ni, Payal Mohapatra +3
Video generative models (VGMs) pretrained on large-scale internet data can produce temporally coherent rollout videos that capture rich object dynamics, offering a compelling found…
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
Karthik Dharmarajan, Wenlong Huang, Jiajun Wu +2
Generative video modeling has emerged as a compelling tool to zero-shot reason about plausible physical interactions for open-world manipulation. Yet, it remains a challenge to tra…
UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Yihe Tang, Wenlong Huang, Yingke Wang +5
Understanding fine-grained object affordances is imperative for robots to manipulate objects in unstructured environments given open-ended task instructions. However, existing meth…